Webinars

Tracing the North American Asian longhorned beetle invasion through genomics.

During Algoma University Research Week 2021, Dr. Amanda Roe presented on invasive species in particular the Asian longhorned beetle and how it poses a threat on our environment. Here she discusses the genomic research results and tools developed to address Asian longhorned beetle pathway of invasion.

Genomic biosurveillance of alien forest pathogens: a story written in code

The BioSAFE project was featured by the Department of Botany and Plant Pathology Seminars through Oregon State University. The webinar talked about the Canadian forestry sector and the importance of pathogen detection of invasive species. Dr. Hamelin provided some of the latest results of one of the pathogens (Sudden Oak Death disease) in the BioSAFE project and how these results are fed into the BioSAFE database that can be utilized by end users. 

Plant Health at the Age of Metagenomics (Part 2 of 3)

Video recording of the scientific colloquium at the European and Mediterranean Plant Protection Organization/Euphresco colloquium on October 3rd 2019 to discuss phytosanitary research on the topic of Plant Health at the Age of Metagenomics. Dr. Guillaume Bioldeau is one of the panel members who presents at 33:29 mins. His presentation title is Genome-enhanced detection and identification of plant pathogens. Here he discusses how High Throughput Sequencing enables genomic comparative analyses of closely-related pests to design molecular markers for distinguishing pests and assist in regulatory activities. 

A Geographers Journey into AI: Mapping Urban Trees from Scratch

We will share our experience and lessons learned in choosing, training and deploying deep learning models for single urban tree detection, localization and classification using street-level imagery. Drawing on our case study of Canada-wide urban tree mapping, we provide guidance on questions such as: what to think about when choosing a Deep Learning framework for your computer vision use case? How can you be creative in acquiring your training data? How do you train an instance segmentation model with limited labeled examples? Which open source projects to choose to quickly get started?.

stay tuned for more webinars........